Mastering Design of Experiments: Principles, Applications, and Advanced Techniques with Python

By Francis Dakubo

Design of Experiments (DOE) has long been a cornerstone of innovation, enabling industries and researchers to optimize processes, improve product quality, and make data-driven decisions. From engineering and manufacturing to pharmaceuticals and materials science, DOE's application has been transformative. Yet, with artificial intelligence and data-driven tools, DOE is experiencing a revolution, opening new doors for adaptive experimentation and optimization.

In Mastering Design of Experiments: Principles, Applications, and Advanced Techniques with Python: Classic Methods, Modern Applications, and Machine Learning Integration is a comprehensive guide for professionals, students, and researchers seeking to bridge the gap between classical DOE techniques and modern AI-driven methodologies. This book is designed to provide readers with the foundational principles of DOE while introducing cutting-edge computational methods using Python, making it an indispensable resource for mastering experimentation in the 21st century.

• Format: Paperback
• Language: English
• ISBN: 1966840683
• ISBN13: 9781966840688
• Release Date: January 2025
• Publisher: Francis Dakubo
• Length: 794 Pages
• Weight: 5.38 lbs.
• Dimensions: 2.2" x 8.5" x 11.0"